Deterministic constructions of compressed sensing matrices
Journal of Complexity
Codebooks from almost difference sets
Designs, Codes and Cryptography
Fast dimension reduction using Rademacher series on dual BCH codes
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Foundations and Trends in Signal Processing
Deterministic sampling of sparse trigonometric polynomials
Journal of Complexity
Peak-to-mean power control in OFDM, Golay complementary sequences, and Reed-Muller codes
IEEE Transactions on Information Theory
Generalized Reed-Muller codes and power control in OFDM modulation
IEEE Transactions on Information Theory
Lower bounds on the maximum cross correlation of signals (Corresp.)
IEEE Transactions on Information Theory
Complex sequences with low periodic correlations (Corresp.)
IEEE Transactions on Information Theory
Complex Codebooks From Combinatorial Designs
IEEE Transactions on Information Theory
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
IEEE Transactions on Information Theory
A complementary construction using mutually unbiased bases
Cryptography and Communications
Hi-index | 0.00 |
A new (N, K) partial Fourier codebook is constructed, associated with a binary sequence obtained by an element-wise multiplication of a pair of binary Golay complementary sequences. In the codebook, N=2m for a positive integer m, and K is approximately $\frac{N}{4}$. It is shown that the maximum magnitude of inner products between distinct code vectors is nontrivially bounded in the codebook, which is approximately up to $\sqrt{6}$ times the Welch bound equality for large N=2m with odd m. Finally, the new codebook is employed as a deterministic sensing matrix for compressed sensing, where its recovery performance is tested through numerical experiments.